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Surrogate Population Models for Large-Scale Neural Simulations.. Neural Computation, 27 (6): 1186-1222 (2015)Python scripting in the Nengo simulator., , and . Front. Neuroinform., (2009)How Is Scene Recognition in a Convolutional Network Related to that in the Human Visual System?, and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 280-287. Springer, (2016)A Convolutional Network Model of the Primate Middle Temporal Area.. ICANN (2), volume 9887 of Lecture Notes in Computer Science, page 97-104. Springer, (2016)Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks., , and . ICANN (1), volume 9886 of Lecture Notes in Computer Science, page 349-356. Springer, (2016)Population Models of Temporal Differentiation., and . Neural Computation, 22 (3): 621-659 (2010)Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization.. Neural Computation, 24 (4): 867-894 (2012)Modeling the shape hierarchy for visually guided grasping., , , , and . Front. Comput. Neurosci., (2014)Population coding in sparsely connected networks of noisy neurons., and . Front. Comput. Neurosci., (2012)A video-driven model of response statistics in the primate middle temporal area., , and . Neural Networks, (2018)